Demo Data from SIGIR 2026 / reviewers in the wild / expert
Cali E. Willet
dblp:133/2727
· DBLP profile ↗
2ranked-venue papers
2as first author
0since 2021 · last 2015
0000-0001-8449-1502ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2 · 2 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Bioinformatics and computational biology · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › genomics
genotyping |
0.2 | 1 | 2015 | Simple, rapid and accurate genotyping-by-sequencing from aligned whole genomes with ArrayMaker · Bioinform. 2015 |
Bioinformatics and computational biology › genomics › genotyping
genotyping-by-sequencing |
0.2 | 1 | 2015 | Simple, rapid and accurate genotyping-by-sequencing from aligned whole genomes with ArrayMaker · Bioinform. 2015 |
Bioinformatics and computational biology › genomics
genome-wide association study |
0.1 | 1 | 2015 | Simple, rapid and accurate genotyping-by-sequencing from aligned whole genomes with ArrayMaker · Bioinform. 2015 |
Methods — techniques the papers use, named apart from their topics
whole-genome alignment · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | Simple, rapid and accurate genotyping-by-sequencing from aligned whole genomes with ArrayMakerabstractSUMMARY: Whole-genome sequencing has revolutionized the study of genetics. Genotyping-by-sequencing is now a viable method of genotyping, yet the bioinformatics involved can be daunting if not prohibitive for some laboratories. Here we present ArrayMaker, a user-friendly tool that extracts accurate single nucleotide polymorphism genotypes at pre-defined loci from whole-genome alignments and presents them in a standard genotyping format compatible with association analysis software and datasets genotyped on commercial array platforms. Using this tool, geneticists with only basic computing ability can genotype samples at any desired list of markers, facilitating genome-wide association analysis, fine mapping, candidate variant assessment, data sharing and compatibility of data sourced from multiple technologies. AVAILABILITY AND IMPLEMENTATION: ArrayMaker is licensed under The MIT License and can be freely obtained at https://github.com/cw2014/ArrayMaker/. The program is implemented in Perl and runs on Linux operating systems. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. CONTACT: [email protected]. Cali E. Willet, Bianca Haase, Michael A. Charleston, Claire M. Wade |
Bioinform. | 1 |
| 2013 | Empirical assessment of competitive hybridization and noise in ultra high density canine tiling arraysabstractBACKGROUND: In addition to probe sequence characteristics, noise in hybridization array data is thought to be influenced by competitive hybridization between probes tiled at high densities. Empirical evaluation of competitive hybridization and an estimation of what other non-sequence related features might affect noisy data is currently lacking. RESULTS: A high density array was designed to a 1.5 megabase region of the canine genome to explore the potential for probe competition to introduce noise. Multivariate assessment of the influence of probe, segment and design characteristics on hybridization intensity demonstrate that whilst increased density significantly depresses fluorescence intensities, this effect is largely consistent when an ultra high density offset is applied. Signal variation not attributable to sequence composition resulted from the reduction in competition when large inter-probe spacing was introduced due to long repetitive elements and when a lower density offset was applied. Tiling of probes immediately adjacent to various classes of repeat elements did not generate noise. Comparison of identical probe sets hybridized with DNA extracted from blood or saliva establishes salivary DNA as a source of noise. CONCLUSIONS: This analysis demonstrates the occurrence of competitive hybridization between oligonucleotide probes in high density tiling arrays. It supports that probe competition does not generate random noise when it is maintained across a region. To prevent the introduction of noise from this source, the degree of competition should be regulated by minimizing variation in density across the target region. This finding can make an important contribution to optimizing coverage whilst minimizing sources of noise in the design of high density tiling arrays. Cali E. Willet, Laura Bunbury-Cruickshank, Diane van Rooy, Georgina Child, Mohammad R. Shariflou, Peter C. Thomson, Claire M. Wade |
BMC Bioinform. | 1 |